Su terfi istasyonlarının yük kaydırmalı işletimi için yeni bir algoritma.

The highest cost item in the operation of water distribution systems is the energy cost used for pumping. With regard to Time-of-Use (TOU) electricity tariffs and urban water demand, the optimization of the pumping schedule of the stations in the water distribution systems can be modeled mathematically. In this study, a new algorithm (SDPA-simplified dynamic programming algorithm) was used to solve the pumping schedule optimization problem in order to reduce the pumping energy cost. By shifting the energy demand during the on-peak period to the off-peak period, SDPA was applied to a pumping station belonging to a water distribution system in Sakarya province, a 12% saving on the cost of energy was realized. In comparison to the IDPA (Improved dynamic programming algorithm), and CWLC (conventional water level control) approach, the simulation results showed that SDPA can achieve more savings in energy cost generated. In addition, SDPA managed to keep the count of pump on-off decisions quite small by preventing the problem of increasing pump operating frequency while the decision period getting very smaller than the decision period in IDPA approach. Therefore, we can conclude that using SDPA to reconfigure the pumping schedule without any additional investment in the pumping stations of water distribution systems, can achieve significant energy savings. [ABSTRACT FROM AUTHOR]